Pune · Mid Level
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Purpose of the role
To lead and manage engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high-quality software solutions, driving technical excellence, fostering a culture of innovation, and collaborating with cross-functional teams to align technical decisions with business objectives.
Accountabilities
Vice President Expectations
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.
Join us as an AI Platform Engineer at Barclays, innovation isn’t just encouraged; it’s expected. You will be required to have an experience in SOLD Simplification. It is a multiyear initiative to make the platform compliant to most valuable environment, hardware refresh and removing redundant functionalities. You will be required to lead the overall engineering & development of this initiative. You will be an AI Engineering and required to coordinate & support requirement Discovery, initiative & delivery planning, roadmap and stakeholder management.
To be successful as an AI Platform Engineer, you should have experience with:
• Cloud Platform Engineering (Azure preferred), including Kubernetes, containerisation, Infrastructure as Code (Terraform/Bicep), and platform operations.
• Software Engineering & API Development using Python and/or Java, with experience building scalable services, APIs, and integration frameworks.
• AI Platform & MLOps Engineering, including deployment and operationalisation of LLMs, model lifecycle management, prompt orchestration, vector databases, and AI observability.
• DevSecOps & Enterprise Security, including CI/CD pipelines, automated testing, secrets management, vulnerability remediation, and secure-by-design engineering practices.
Some other highly valued skills may include:
• Financial Services Domain Knowledge, particularly Payments, Cash Management, Liquidity, Treasury, or Transaction Banking platforms.
• Data Engineering & Analytics, including data pipelines, data quality controls, metadata management, and retrieval-augmented generation (RAG) architectures.
• AI Governance & Risk Management, including model risk controls, AI guardrails, responsible AI practices, and regulatory compliance requirements.
• Site Reliability Engineering (SRE) & Platform Operations, including monitoring, resiliency engineering, incident management, capacity planning, and operational excellence.
You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.
This role is based in our Pune office.
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